python/pyspark/sql/tests/connect/test_connect_context.py - master - githubmirror/spark

python/pyspark/sql/tests/connect/test_connect_context.py
170 строк8 KB
Hyukjin Kwon
[SPARK-57608][PYTHON][TEST] Guard Spark Connect grpc imports so connect SQLContext/HiveContext tests skip on grpc-less builds (Python 3.14 free-threaded)
23 июн 2026, 06:41
23 июн 2026, 06:41ec66c50
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

import os
import warnings
from unittest.mock import patch

from pyspark.errors import PySparkNotImplementedError
from pyspark.sql import HiveContext as ClassicHiveContext
from pyspark.sql import SQLContext as ClassicSQLContext
from pyspark.testing.connectutils import ReusedConnectTestCase, should_test_connect

# Connect HiveContext/SQLContext are only importable when grpc is present; the guard keeps the
# module collectable on grpc-less images, where these tests are skipped anyway. They are referenced
# only inside test method bodies (never in annotations), so no quoting is needed here.
if should_test_connect:
    from pyspark.sql.connect.context import HiveContext, SQLContext


class SQLContextConnectTests(ReusedConnectTestCase):
    """Connect-specific SQLContext tests not covered by the parity mixin."""

    def setUp(self) -> None:
        super().setUp()
        SQLContext._instantiatedContext = None

    def tearDown(self) -> None:
        super().tearDown()
        SQLContext._instantiatedContext = None

    def _release_session(self, session) -> None:
        """Release only the given session server-side and close its client channel.

        We must NOT call SparkSession.stop() here: under SPARK_LOCAL_REMOTE (the test
        harness) it terminates the shared local Connect server, breaking the rest of
        the suite. Leaving the client open is also wrong -- once tearDownClass stops
        the shared server, its atexit _on_exit -> _cleanup_ml_cache retries against
        the dead server and hangs until the test times out.
        """
        client = session.client
        try:
            client.release_session()
        except Exception:
            pass
        try:
            client.close()
        except Exception:
            pass

    def test_init_emits_deprecation_warning(self) -> None:
        with self.assertWarns(FutureWarning):
            SQLContext(self.spark)

    def test_registerJavaFunction_raises(self) -> None:
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", FutureWarning)
            ctx = SQLContext(self.spark)
        with self.assertRaises(PySparkNotImplementedError):
            ctx.registerJavaFunction("f", "com.example.F")

    def test_hive_context_raises(self) -> None:
        with self.assertRaises(PySparkNotImplementedError):
            HiveContext(self.spark)

    def test_getOrCreate_emits_deprecation_and_returns_connect_context(self) -> None:
        """SQLContext.getOrCreate() in Connect mode returns a Connect-backed context."""
        with patch("pyspark.sql.utils.is_remote", return_value=True):
            with warnings.catch_warnings(record=True) as caught:
                warnings.simplefilter("always")
                ctx = ClassicSQLContext.getOrCreate()
        self.assertTrue(any(issubclass(w.category, FutureWarning) for w in caught))
        self.assertIsInstance(ctx, SQLContext)

    def test_newSession_returns_fresh_state(self) -> None:
        """Connect newSession() returns a fresh, independent session that does NOT inherit
        the parent's state (e.g. temp views), matching classic newSession() semantics."""
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", FutureWarning)
            ctx = SQLContext(self.spark)
        self.spark.createDataFrame([(1,)], ["x"]).createOrReplaceTempView("ctx_fresh_view")
        ctx2 = None
        try:
            ctx2 = ctx.newSession()
            # newSession() starts with empty state, so the parent's temp view is not visible.
            self.assertNotIn("ctx_fresh_view", ctx2.tableNames())
            # The new session bypasses SparkSession.__init__, so make sure it still
            # carries the attributes that SparkSession.stop() reads.
            self.assertTrue(ctx2.sparkSession.release_session_on_close)
        finally:
            if ctx2 is not None:
                self._release_session(ctx2.sparkSession)
            self.spark.catalog.dropTempView("ctx_fresh_view")

    def test_get_or_create_from_session_caches_per_session(self) -> None:
        """_get_or_create_from_session returns the cached context for the same session,
        and replaces it with a new context when the active session changes."""
        ctx1 = SQLContext._get_or_create_from_session(self.spark)
        self.assertIs(SQLContext._get_or_create_from_session(self.spark), ctx1)
        self.assertIs(ctx1.sparkSession, self.spark)

        other = self.spark.newSession()
        try:
            ctx2 = SQLContext._get_or_create_from_session(other)
            self.assertIsNot(ctx2, ctx1)
            self.assertIs(ctx2.sparkSession, other)
            self.assertIs(SQLContext._instantiatedContext, ctx2)
        finally:
            self._release_session(other)

    def test_stop_clears_cached_context_only_for_stopped_session(self) -> None:
        """SparkSession.stop() resets the SQLContext cache only when the cache wraps
        the stopped session, so a later getOrCreate() builds a fresh context."""
        # Stopping a session other than the cached context's one leaves the cache alone.
        ctx_shared = SQLContext._get_or_create_from_session(self.spark)
        other = self.spark.newSession()
        try:
            # Mask SPARK_LOCAL_REMOTE so stop() only releases this one session instead
            # of terminating the shared local Connect server used by the whole suite.
            # patch.dict restores the original environment on exit.
            with patch.dict(os.environ):
                os.environ.pop("SPARK_LOCAL_REMOTE", None)
                other.stop()
            self.assertIs(SQLContext._instantiatedContext, ctx_shared)
        finally:
            self._release_session(other)

        # Stopping the session the cached context wraps clears the cache, and the next
        # getOrCreate builds a fresh context for the new active session.
        other2 = self.spark.newSession()
        try:
            ctx_other = SQLContext._get_or_create_from_session(other2)
            self.assertIs(SQLContext._instantiatedContext, ctx_other)
            with patch.dict(os.environ):
                os.environ.pop("SPARK_LOCAL_REMOTE", None)
                other2.stop()
            self.assertIsNone(SQLContext._instantiatedContext)

            ctx_new = SQLContext._get_or_create_from_session(self.spark)
            self.assertIsNot(ctx_new, ctx_other)
            self.assertIs(ctx_new.sparkSession, self.spark)
        finally:
            self._release_session(other2)

    def test_hive_context_getOrCreate_raises(self) -> None:
        """HiveContext.getOrCreate() in Connect mode raises PySparkNotImplementedError."""
        with patch("pyspark.sql.utils.is_remote", return_value=True):
            with warnings.catch_warnings():
                warnings.simplefilter("ignore", FutureWarning)
                with self.assertRaises(PySparkNotImplementedError):
                    ClassicHiveContext.getOrCreate()


if __name__ == "__main__":
    from pyspark.testing import main

    main()